Network Security Through Data Analysis

Network Security Through Data Analysis

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary…

R for Data Science

R for Data Science

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands. The purpose of the book is to explore the core topics that data…

Real-Time Analytics

Real-Time Analytics

Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics – expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional…

Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook

This book contains over 70 practical, task-oriented recipes to build up your knowledge of Splunk’s many features which you can apply to real-world operational intelligence scenarios. Right from the first chapter, you will follow recipes that progressively build upon one another. The recipes provided will demonstrate methods to…

Thinking with Data

Thinking with Data

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of…

Algorithms from and for Nature and Life

Algorithms from and for Nature and Life

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network…

Analyzing the Analyzers

Analyzing the Analyzers

There has been intense excitement in recent years around activities labeled “data science,” “big data,” and “analytics.” However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between “data scientists” and the organizations requiring…

Big Data Analytics Using Splunk

Big Data Analytics Using Splunk

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling…

Data Science for Business

Data Science for Business

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand…

Getting Started with Greenplum for Big Data Analytics

Getting Started with Greenplum for Big Data Analytics

Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. With the advent of Big Data, existing Data Warehousing and Business Intelligence solutions are becoming obsolete, and a requisite for new…